Energy Consumption and Running Time Estimation for Train Section Speed Limit Based on Python Simulation

Xinmei Yu

doi:10.63313/AERpc.9112

Authors

Xinmei Yu Central South University of Forestry and Technology, Changsha, Hunan 410000, China Author

DOI:

https://doi.org/10.63313/AERpc.9112

Keywords:

High-Speed Train, Speed-Limited Condition, Energy Consumption Characteristics, On-Time Rate, Python simulation

Abstract

Speed-limited operation is a common scenario in high-speed rail line maintenance and emergency response to unexpected conditions. Under such constraints, fluctuations in train energy consumption and deviations in travel time directly affect the balance between energy efficiency and punctual operations, significantly influencing the quality and efficiency of railway transportation. To investigate the patterns of energy consumption and travel time under various speed-limiting scenarios and achieve optimal coordination between energy efficiency and on-time performance, this study establishes a simulation model for calculating high-speed train energy consumption and travel duration using Python as the platform and PyCharm as the development environment.This research clarifies the matching patterns between energy consumption and punctuality under multiple operating conditions, providing data support and theoretical reference for optimizing energy-efficient and punctual operations and refining operational planning under speed restrictions.

References

[1] Sun Gengjie. Review of China's High-Speed Railway Development [J]. Comprehensive Transportation, 2022, 44(06): 20-24+30.

[2] The Development History of China's High-Speed Railways [J]. China Mechanical Engineering, 2019, 30(03): 380.

[3] Wang Mengshu. Innovative Approaches and Achievements in the Rapid Construction of China's High-Speed Railways [J]. Science and Technology Review, 2014, 32(22): 1.

[4] Chen Yu. Research on Energy-saving Operation of High-speed Trains Based on Dual Optimization [D]. Lanzhou Jiaotong University, 2021.

[5] Ji Xia. Green Development Strategies for High-speed Rail under the Background of Dual Carbon Goals [J]. Transportation Management, 2024, 39(06): 24-26.

[6] Bocharnikov Y V, Tobias A M, Roberts C, et al. Optimal driving strategy for traction energy saving on DC suburban railways[J]. Iet Electric Power Applications, 2007, 1(5): 675-682.

[7] Ke B R, Chen M C, Lin C L. Block-layout design using max-min ant system for saving energy on mass rapid transit systems[J]. IEEE Transactions on Intelligent Transportation Systems, 2009, 10(2): 226-235.

[8] Zhao N, Roberts C, Hollmansen S, et al. A multiple train trajectory optimization to minimize energy consumption and delay[J]. IEEE Transactions on Intelligent Transportation Systems, 2015, 16(5): 1-10.

[9] Lukaszewicz P. Energy consumption and running time for trains[D]. Royal Institute of Technology, 2001.

[10] Benjamin B R, Milroy I P, and Pudney P J. Energy-efficient operation of long haul trains [C]. Proceedings of the fourth international heavy haul railway conference,1989, 369-372.